TSF_Task6_Decision_Tree

Prediction using Decision Tree Algorithm

The task is to create a Decision Tree classifier and represent it graphically

The purpose is to train the model so that it can predict the class of new data correctly

Given "Iris" dataset has 4 variables as PetalLengthCm, PetalWidthCm, SepalLengthCm & SepalWidthCm and the corresponding species it belongs to. This is how the algorithm takes decisions to put data with features to a specific class of species